Data Mining and Big Data

Cross-User Fuzzy Deduplication for Images in Cloud Storage.- Blockchain-based Integrity Auditing with Secure Deduplication in Cloud Storage.- Name Disambiguation Based on Entity Relationship Graph in Big Data.- Ontology-based metadata model design of data governance system.- Ontology-based Combat Force Modeling and Its Intelligent Planning Using Genetic Algorithm.- Research on Multi-channel Retrieve Mechanism Based on Heuristic.- Big-Model Methods.- PoetryBERT: Pre-Training with Sememe Knowledge for Classical Chinese Poetry.- Image hide with Invertible Network and Swin Transformer.- Modeling and Analysis of Combat System Confrontation Based on Large-scale Knowledge Graph Network.- Generating Aversarial Exmaples and Other Applications.- Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN.- Defending Adversarial Examples by Negative Correlation Ensemble.- Accurate Decision-Making Method for Air Combat Pilots based on Data-Driven.- Establishment of Empirical Expression of Atmospheric Scattering Coefficient for Line-of-sight Ultraviolet Propagation in Coastal Area.- Deep Reinforcement Learning Approach.- Heterogeneous Multi-unit Control with Curriculum Learning for Multi-agent Reinforcement Learning.- A Deep Reinforcement Learning Approach for Cooperative Target Defense.- Particle Swarm Based Reinforcement Learning.- User's Permission Reasoning Method Based on Knowledge Graph Reward Guidance Reinforcement Learning in Data Center.- SMPG: Adaptive Soft Update for Masked MADDPG.- Attentive Relational State Representation for Intelligent Joint Operation Simulation.- Graph Neural Networks.- Flow Prediction via Multi-view Spatial-temporal Graph Neural Network.- RotatSAGE: A Scalable Knowledge Graph Embedding Model based on Translation Assumptions and Graph Neural Networks.- Denoise Network Structure for User Alignment across Networks via Graph Structure Learning.- OLPGP: An optimized label propagation-based distributed graph partitioning algorithm.- Deep Neural Networks.- DRGS: Low-Precision Full Quantization of Deep Neural Network with Dynamic Rounding and Gradient Scaling for Object Detection.- Emotion Recognition Based on Multi-scale Convolutional Neural Network.-Pose Sequence Model Using the Encoder-decoder Structure for 3d Pose Estimation.-Research and Analysis of Video-Based Human Pose Estimation.-Action Recognition for Solo-militant Based on ResNet and Rule Matching.- Multiple Residual Quantization of Pruning.- Clustering Methods.- Deep Structured Graph Clustering Network.- Improved Clustering Strategies for Learning Style Identification in Massive Open Online Courses.- CSHEM - A Compressed Sensing Based Secure Data Processing Method for Electrical Data.- Prediction Methods.- An Improved Multi-Source Spatiotemporal Data Fusion Model based on the Nearest Neighbor Grids for PM2.5 Concentration Interpolation and Prediction.- Study on the Prediction of Rice Noodle Raw Material Index Content by Deep Feature Fusion.- GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory.- Multi-Cause Learning for Diagnosis Prediction.- Prediction of Postoperative Survival Level of Esophageal Cancer Patients Based on Kaplan-Meier(K-M) Survival Analysis and Gray Wolf Optimization (GWO)-BP Model.- Classification Methods.- Possibilistic Reject-Classification based on Contrastive Learning in Vector Quantization Networks.- A Classification Method for Imbalanced Data Based on Ant Lion Optimizer.- Learnable Relation With Triplet Formulation For Semi-supervised Medical Image Classification.- Multi-view Classification via Twin Projection Vector Machine with Application to EEG-based Driving Fatigue Detection.- An Interpretable Conditional Augmentation Classification Approach for Imbalanced EHRs Mortality Prediction.- Combining Statistical and Semantic Features For Trajectory Point Classification.